Extended Object Tracking and Shape Classification

被引：0
|
作者：
Tuncer, Barlun [1 ]
Kumru, Murat [1 ]
Ozkan, Emre [1 ]
Alatan, A. Aydin [1 ]
机构：
[1] Middle East Tech Univ, Dept Elect & Elect Engn, TR-06800 Ankara, Turkey
来源：
2018 21ST INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION) | 2018年
关键词：
Extended Target Tracking; Contour representation; Shape-based Classification; Gaussian Process; Bayesian; Classification; Learning; TARGET TRACKING; FOURIER; RECOGNITION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Recent extended target tracking algorithms provide reliable shape estimates while tracking objects. The estimated extent of the objects can also be used for online classification. In this work, we propose to use a Bayesian classifier to identify different objects based on their contour estimates during tracking. The proposed method uses the uncertainty information provided by the estimation covariance of the tracker.
引用
收藏
页码：267 / 274
页数：8
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